GPUs and the Future of Parallel Computing
The University of Texas at Austin · Nvidia (United Kingdom) · +1 more institution
Indexed incrossref
Abstract
This article discusses the capabilities of state-of-the art GPU-based high-throughput computing systems and considers the challenges to scaling single-chip parallel-computing systems, highlighting high-impact areas that the computing research community can address. Nvidia Research is investigating an architecture for a heterogeneous high-performance computing system that seeks to address these challenges.
Citation impact
662
total citations
- FWCI
- 35.80
- Percentile
- 100%
- References
- 7
Citations per year
Authors
5Topics & keywords
Topics
Keywords
- Computer science
- Supercomputer
- Computer architecture
- Symmetric multiprocessor system
- Parallel computing
- Architecture
- End-user computing
- Throughput
No related works found for this paper.